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Environ Sci Pollut Res Int

Title:		Large spatio-temporal variations of size-resolved particulate matter and volatile organic compounds in urban area with heavy traffic
Author(s):		Phuc NH; Oanh NTK;
Address:		"Environmental Engineering and Management, School of Environment, Resources and Development, Asian Institute of Technology, Pathumthani, Thailand. Environmental Engineering and Management, School of Environment, Resources and Development, Asian Institute of Technology, Pathumthani, Thailand. kimoanh@ait.ac.th"
Journal Title:		Environ Sci Pollut Res Int
Year:		2022
Volume:		20211111
Issue:		15
Page Number:		21491 - 21507
DOI:		10.1007/s11356-021-16921-9
ISSN/ISBN:		1614-7499 (Electronic) 0944-1344 (Linking)
Abstract:		"A monitoring campaign, the first of this kind for a heavy traffic urban area of Vietnam, was conducted which generated nearly 200 daily filter samples of PM(2.5), PM(10), and black carbon (BC), 1300 online hourly PMx (PM(10), PM(2.5), and PM(1)), 900 hourly/bi-hourly BTEX data, 700 h of traffic counts, and online meteorology records. PMx and BTEX levels show large horizontal gradients across this small urban area of 300 m width suggesting that the pollution data should be generated with sufficient spatial resolutions for assessment of the exposure and health effects. This paper focuses on analyzing PMx with reference to the previously published BTEX to provide a more complete picture of the traffic-related pollution in the area. Spatio-temporal variations of pollutants are analyzed in relation to traffic flows and fleet compositions, weekday-weekend effects, local and regional meteorology. PM(10) and BTEX levels had larger variations between the sites indicating their stronger associations with the traffic activities than the finer particles. Twenty-four-hour (24 h) PM(2.5) levels ranged between 19 and 191 microg/m(3) with high PM(1)/PM(2.5) ratios of above 0.8 at ambient site (AA) and above 0.7 at roadsides. Multivariate relationship analysis (PCA) for the bi-hourly datasets of meteorology, traffic flows, and pollutant levels indicated overwhelming influence of on-road traffic fleet compositions on the roadside pollutants levels. At AA, PCA results showed a complex interaction between local emissions, meteorological conditions, and regional/long-range transport. Higher pollution levels were associated with the airmass types having the continental origin and pathways"
Keywords:		*Air Pollutants/analysis *Air Pollution/analysis Environmental Monitoring/methods Particulate Matter/analysis Vehicle Emissions/analysis *Volatile Organic Compounds/analysis Ambient air Hanoi Pollutant variations Roadside Traffic fleet composition;
Notes:		"MedlinePhuc, Nguyen Hong Oanh, Nguyen Thi Kim eng Germany 2021/11/12 Environ Sci Pollut Res Int. 2022 Mar; 29(15):21491-21507. doi: 10.1007/s11356-021-16921-9. Epub 2021 Nov 11"